Skip to main content
SpringerLink
Log in

Language models in bioinformatics

Translating single-cell genomics into cell types

  • News & Views
  • Published:

From Nature Machine Intelligence

View current issue Submit your manuscript

Machine translation of languages can now automatically detect different cell types from single-cell transcriptomic data. Such a feat opens the prospect of dissecting complex clinical samples such as heterogenous tumours at scale.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1: The cells in our body have many different transcriptional ‘dialects’.

References

  1. Clarke, Z. A. et al. Nat. Protoc. 16, 2749–2764 (2021).

    Google Scholar 

  2. Tong, A. et al. Nat. Biotechnol. 39, 144–147 (2021).

    Google Scholar 

  3. Xia, B. & Yanai, I. Development (Cambridge) 146, dev169854 (2019).

    Google Scholar 

  4. Kiselev, V. Y., Andrews, T. S. & Hemberg, M. Nat. Rev. Genet. 20, 273–282 (2019).

    Google Scholar 

  5. Yang, F. et al. Nat. Mach. Intell. https://doi.org/10.1038/s42256-022-00534-z (2022).

    Article  Google Scholar 

  6. Schmidhuber, J. Neural Netw. 61, 85–117 (2015).

    Google Scholar 

  7. Eraslan, G., Avsec, Ž., Gagneur, J. & Theis, F. J. Nat. Rev. Genet. 20, 389–403 (2019).

    Google Scholar 

  8. Khan, S. et al. ACM Comput. Surv. 54, 200 (2022).

    Google Scholar 

  9. Zeng, H. Cell 185, 2739–2755 (2022).

    Google Scholar 

  10. Pang, M. & Tegnér, J. Preprint at bioRxiv https://doi.org/10.1101/2020.02.05.935239 (2020).

Download references

Acknowledgements

J.N.T. acknowledge support from the King Abdullah University of Science and Technology.

Author information

Authors and Affiliations

  1. Biological and Environmental Science and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia

    Jesper N. Tegner

  2. Computer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia

    Jesper N. Tegner

  3. Unit of Computational Medicine, Department of Medicine, Centre for Molecular Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden

    Jesper N. Tegner

  4. Science for Life Laboratory, Solna, Sweden

    Jesper N. Tegner

Authors
  1. Jesper N. Tegner
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Jesper N. Tegner.

Ethics declarations

Competing interests

The author declares no competing interests.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Tegner, J.N. Translating single-cell genomics into cell types. Nat Mach Intell 5, 11–12 (2023). https://doi.org/10.1038/s42256-022-00600-6

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/s42256-022-00600-6

  • Springer Nature Limited

Search

Navigation